How to select rows from a 3-D Tensor in TensorFlow?

I have a tensor logits with the dimensions [batch_size, num_rows, num_coordinates] (i.e. each logit in the batch is a matrix). In my case batch size is 2, there's 4 rows and 4 coordinates.

logits = tf.constant([[[10.0, 10.0, 20.0, 20.0],
                      [11.0, 10.0, 10.0, 30.0],
                      [12.0, 10.0, 10.0, 20.0],
                      [13.0, 10.0, 10.0, 20.0]],
                     [[14.0, 11.0, 21.0, 31.0],
                      [15.0, 11.0, 11.0, 21.0],
                      [16.0, 11.0, 11.0, 21.0],
                      [17.0, 11.0, 11.0, 21.0]]])

I want to select the first and second row of the first batch and the second and fourth row of the second batch.

indices = tf.constant([[0, 1], [1, 3]])

So the desired output would be

logits = tf.constant([[[10.0, 10.0, 20.0, 20.0],
                      [11.0, 10.0, 10.0, 30.0]],
                     [[15.0, 11.0, 11.0, 21.0],
                      [17.0, 11.0, 11.0, 21.0]]])

How do I do this using TensorFlow? I tried using tf.gather(logits, indices) but it did not return what I expected. Thanks!